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Modeling the Impact of Public Management: Implications of Structural Context
Abstract
Management theory suggests that management matters in public organizations—its impact is conditional on structure and often nonlinear in form. This article distills much of the theoretical work on management in public organizations into a formal, testable model. Management is presented as more crucial in networks than in more structured hierarchies. Management influences organization performance by 1) creating structure for the organization and thus system stability, 2) buffering the organization from environmental influences, and 3) exploiting opportunities in the environment. Decisions about which of these actions to take are at the core of strategic management. This article is the first step in a full model of managerial action in public organizations.
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Citations
Cited by
Collaborative Public Management: Assessing What We Know and How We Know It
McGuire, M. (2006) · Public Administration Review · doi:10.1111/j.1540-6210.2006.00664.x · Cited by 933
Artificial Intelligence, Discretion, and Bureaucracy
Bullock, J. B. (2019) · The American Review of Public Administration · doi:10.1177/0275074019856123 · Cited by 346
The Theory–Practice Issue in Policy Implementation Research
O'toole, L. J. (2004) · Public Administration · doi:10.1111/j.0033-3298.2004.00396.x · Cited by 235
Self-citationLee, S.-Y., & Whitford, A. B. (2013) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mus050 · Cited by 169
Metadata
- Authors
- O'Toole, L. J., & Meier, K. J.
- Venue
- Journal of Public Administration Research and Theory
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-10-01
- Volume
- 9
- Issue
- 4
- Pages
- 505-526
- ISSN
- 1053-1858 (ISSN-L)
- 1477-9803
- OpenAlex
- W2006860561
- Cited by
- 554
- References
- 0
- FWCI
- 18.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- O'Toole, L. J., & Meier, K. J. (1999). Modeling the Impact of Public Management: Implications of Structural Context. Journal of Public Administration Research and Theory. https://doi.org/10.1093/oxfordjournals.jpart.a024421
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.